Indra Sistemas, S.A (ISMAF) Fair Value & Analysis
Technology · US · Market cap $11.1B
Analysis
Indra Sistemas, S.A (ISMAF) currently trades at $63.55, while our model-based Fair Value estimate is $46.24 — implying the stock looks roughly 27.2% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Indra Sistemas, S.A., together with its subsidiaries, provides technology services for the defense, aerospace, and advanced digital technologies sectors in Spain, Brazil, the rest of America, Italy, the rest of Europe, Asia, the Middle East, and Africa. It operates through the Defense, Air Traffic, Mobility, and Minsait segments. The company engages in the design, development, production, integration, and maintenance of systems, solutions, and services based on the use of information technologies, including computing, electronics, and communications. It also offers radars and radar systems, air defense systems, surveillance, security and unmanned vehicles, and shipboard systems for air and naval platforms; command and control systems, communications systems, and simulators; land military vehicles; unmanned aerial systems; satellite communication systems; air traffic management systems and equipment; air traffic control training services; and ticketing and tolling systems, informatio…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.